To optimize the final formulation for a drug, it must meet many criteria beyond producing a safe and effective product. For example, it must be stable and amenable to various manufacturing steps, such ...

Formulation scientists are behind the conversion of active pharmaceutical ingredients (API) into stable, bioavailable, and commercially viable dosage forms, rarely a simple process. Image Credit: ...

Scientists have successfully tested the use of machine learning models to guide the design of long-acting injectable drug formulations. The potential for machine learning algorithms to accelerate drug ...

Researchers at the University of Toronto say they have successfully tested the use of machine learning models to guide the design of long-acting injectable drug formulations. The potential for machine ...

Artificial intelligence is shifting formulation development from empirical trial-and-error to predictive, data-driven design ...

This interview addresses the challenges and complexities of developing and manufacturing controlled-release drug formulations. Could you introduce yourself and your expertise in drug development and ...

Scientists at the University of Toronto have successfully tested the use of machine learning models to guide the design of long-acting injectable drug formulations. The potential for machine learning ...

Industry experts discuss the benefits of utilizing contract development and contract research organizations in drug discovery and development. Drug discovery can involve extensive research to identify ...

Intrepid Labs’ Valiant platform uses AI and robotics to cut drug formulation timelines from months to days Over $11M USD total raised to-date; latest round led by AVANT BIO TORONTO--(BUSINESS ...